Novice to Advanced RegEx in Less-than 30 Minutes + Python

A full tutorial covering everything you need to know about Regular Expressions - an essential for anyone learning to code - and even more so for anyone interested in Natural Language Processing.

This video includes:

- metacharacters
- quantifiers
- capture groups
- using capture groups in Python
- character sets
- look-ahead and look-behind assertions
- negative look-ahead and look-behind assertions
- inline modifiers
- passing modifiers as function parameters in Python
- conditionals (if-else statements for RegEx)

We cover all of this in-depth in this tutorial, incl. examples all the way through on RegEx101 (an interactive debugging/regex building tool) and also in Python.

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[reidafesta]

I watched about 4 videos about regex and this one covered everything plus extra syntax not covered in the other videos. I will argue that this is the best tutorial on regex on youtube. Thank you so much for sharing it

[mukilankrishnakumar]

Thanks a lot James. I really appreciate your effort in teaching RegEx. I have wanted to learn it properly for a long time and I finally got to it!

[SergioPolimante]

You did a really good job on this video. The progression on the step-by-step is very smooth, you are a good teacher, congratulations.

[troyke]

I'm on 19:25 in the video and already I'm thinking this is one of the best regex tutorials I've seen! Simply awesome work!

[pratikchopade]

this is what I was looking for. Thank you😇

[ComputerScienceSimplified]

Awesome video, keep up the amazing work! :)

[zacyuan]

can you elaborate a bit more on （：？） ? not quite follow ...thanks

[soniasa]

very useful. I shared this video with my LinkedIn network and students as well.

[techgalaxy]

Awesome video. Very helpful and informative. Thank you so much.

[gordofat]

U can't believe this only has 367 "thumbs up"

[Miyazaki]

Thanks James for the wonderful tutorial. I am a beginner to text extraction and have a question. I am trying to extract text from PDF file i.e. report. I was able to extract the text but the output is weird. There are unnecessary space between the characters. For example 'Chang ing cult ivation t echniq uesConservation t illag e' which should have been "Changing cultivation techniques Conservation till age..." How can solve this problem?
I would be grateful to your support.

[philipedesouzasantos]

quite useful this video,
I was looking for something like this:

I have:

apl_teste1
apl_teste2
apl_teste3

and i want to get all these words that starts with "apl_" and return it